The field of AI adoption and integration is moving towards a more nuanced understanding of the factors that influence acceptance and usage patterns. Researchers are recognizing the importance of considering demographic factors, organizational context, and technological complexity in the development of frameworks and models for AI adoption. The integration of affective and organizational factors into models of technology acceptance is becoming increasingly important, as is the need to address the unique challenges faced by different types of organizations, such as midsize organizations and enterprises. Noteworthy papers in this area include:

• A study that developed a framework for the adoption and integration of generative AI in midsize organizations and enterprises, providing scalable guidance on readiness assessment, strategic alignment, and change management.
• A systematic literature review that investigated AI adoption in NGOs, identifying common challenges and solutions and providing a novel understanding of AI adoption in this context.